{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T21:22:08Z","timestamp":1773350528375,"version":"3.50.1"},"reference-count":26,"publisher":"World Scientific Pub Co Pte Ltd","issue":"Supp03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Inter. Net."],"published-print":{"date-parts":[[2022,5]]},"abstract":"<jats:p> In the economic growth of the industry, the marine economic prediction management system occupies a significant position. The Marine Forecast Management System is of considerable importance to help establish rules and clues on the potential progress of the Marine Forecast Management System. Many investigations into the risk of the maritime supply chain currently concentrate on risk assessment and control and seldom undertake a detailed study of each factor\u2019s reasoning structure. It is difficult to monitor and regulate the globalization of supply chains. Blockchain technology promises to provide accountability, traceability, and safety certain global supply chain management concerns as a distributed digital technology leader. This article critically analyzes blockchain technologies and intelligent contracts with future supply chain management applications. The interpretation framework model uses the Supply Chain Management based on Marine Economic Development (SCM-MED) methods to analyze the maritime supply chain risk mechanism. The model examines the structure and processes of the marine supply chain risk mechanism, offers a scientific framework for controlling the risk of the marine supply chain, and makes corresponding proposals for reducing and monitoring marine supply chain risk. It aims to test this belief by strictly calculating the exchanging value of information and comparing this improved value in the supply chain to reduce lead times and increase the pace of distribution by decreasing load sizes. The experimental result recommended SCM-MED improves the marine economic development ratio (98.2%) and total losses per year (25%). <\/jats:p>","DOI":"10.1142\/s0219265921440096","type":"journal-article","created":{"date-parts":[[2022,1,30]],"date-time":"2022-01-30T05:45:43Z","timestamp":1643521543000},"source":"Crossref","is-referenced-by-count":7,"title":["Research on Marine Economic Development Information Management System Based on Supply Chain Technology"],"prefix":"10.1142","volume":"22","author":[{"given":"Qunping","family":"Chen","sequence":"first","affiliation":[{"name":"Business School, Lingnan Normal University, Zhanjiang 524048, P. R. 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